This file uses the latest Airflow image ( apache/airflow). plugins - you can put your custom plugins here. config - you can add custom log parser or add airflow_local_settings.py to configure cluster policy. logs - contains logs from task execution and scheduler. dags - you can put your DAG files here. Some directories in the container are mounted, which means that their contents are synchronized between your computer and the container. For more information, see Architecture Overview. It is available at All these services allow you to run Airflow with CeleryExecutor.

docker compose up flower.įlower - The flower app for monitoring the environment. docker compose -profile flower up, or by explicitly specifying it on the command line e.g.

Optionally, you can enable flower by adding -profile flower option, e.g. Redis - The redis - broker that forwards messages from scheduler to worker.

Īirflow-worker - The worker that executes the tasks given by the scheduler.Īirflow-triggerer - The triggerer runs an event loop for deferrable tasks.Īirflow-init - The initialization service.

Task instances once their dependencies are complete.Īirflow-webserver - The webserver is available at This file contains several service definitions:Īirflow-scheduler - The scheduler monitors all tasks and DAGs, then triggers the

Environment variables supported by Docker Compose.

ModuleNotFoundError: No module named 'XYZ'.

Special case - adding dependencies via requirements.txt file.

Export dynamic environment variables available for operators to use.

(Optional) Adding IDE auto-completion support.

Customize view of Apache from Airflow web UI.

Customizing DAG Scheduling with Timetables.

Configuring Flask Application for Airflow Webserver.

Add tags to DAGs and use it for filtering in the UI.

Download xdebug docker compose